Job Title: Data Architect – Clinical Knowledge Graph Location: London (Hybrid) Job Type: Contract (Inside IR35) About the Role We are looking for an experienced and self-driven Data Architect to support the continuous improvement and delivery of a cutting-edge Clinical Knowledge Graph platform. This role is central to driving innovation in Health Informatics and Clinical Decision Support Systems, working closely with the Head of Informatics and cross-functional teams. You'll play a key role in designing scalable data pipelines, enhancing data quality, and optimising graph database solutions to support clinical intelligence use cases.Key Responsibilities • Develop and maintain scalable ETL data pipelines using SPARQL and Python • Create and optimise advanced SPARQL queries for data analysis • Work with graph databases such as Neo4j, RDF, and Graph DB • Develop graph-based data models and applications to extract clinical insights • Collaborate with analysts and data scientists to define and meet data requirements • Ensure data quality and consistency across the pipeline lifecycle • Stay up to date with advancements in graph technology, data modeling, and semantic architecture Mandatory Skills • Proven experience with SPARQL and Python • Hands-on expertise with Graph Databases: RDF, Neo4j, Graph DB • Experience with Clinical Knowledge Graphs / Clinical Intelligence platforms • Strong understanding of data modeling, schema design, and semantic technologies • Familiarity with data pipeline orchestration tools such as Apache Airflow or Luigi • Strong problem-solving skills and ability to work autonomouslyPreferred Qualifications • Degree in Computer Science, Data Science, or related discipline • Previous experience in Health Informatics or Clinical Data Systems